ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Travis Heights

Austin, TX 78704
Resale homes · closed Oct 26 – Oct 25, 2026
Prepared for Buyers, sellers and agents
Prepared by ALEX Real Estate
Market Study · Resale Analysis
Version 2.4
October 26, 2026 · 7:41 AM CDT
MARKET STUDY All analysis covers resale homes only. New construction appears once, in its own section. Click any dot on the map for that sale.
Resale sales, 365 days
32
single-family resale homes
Median net sale price
$988,750
average $1,249,324
Median net price per SF
$589
average $588
Median days on market
32 days
average 91 days
1. SummaryResale homes · 32 sales · October 26, 2025 – October 25, 2026

This study looks at the 32 resale homes sold in Travis Heights in the 365 days to October 25, 2026. A full year is used because only 17 resale homes sold in the last 180 days. New construction is left out and shown on its own in section 7. The homes are compared four ways: by price, by living area, by year built and with or without a view. The first three are split into four equal groups (quartiles), each named by its range.

Each comparison has its own section (3–6) with everything about it in one place: the key differences, a table of every measure at a glance, the charts and the numbers.

2. Where the resale homes sold32 resale homes · colored by price range

Each dot is one resale home, colored by its price range. Use the buttons to show one price range at a time. Click a dot for that sale: address, close date, original and last list price, net sale price, living area, net sale per SF and days on market. Scroll or pinch to zoom.

Under $824K · 8 sales$824K–$980K · 8 sales$1.00M–$1.41M · 8 salesOver $1.41M · 8 sales
3. Quartiles by net sale priceResale homes · 32 sales · October 26, 2025 – October 25, 2026

Sales ranked by net sale price and cut into four equal groups. This is the usual way to read a market by price.

2026-10-26T07:41:43.374849 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 8 8 8 8 32 sales Sales per group Under $824K: 8 sales (25%) $824K–$980K: 8 sales (25%) $1.00M–$1.41M: 8 sales (25%) Over $1.41M: 8 sales (25%)
Bottom line

3.1 Key differences

The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.

Under $824K$824K–$980K$1.00M–$1.41MOver $1.41M
Higher-priced homes Over $1.41M
  • Are much larger.
Lower-priced homes Under $824K
  • Are much smaller.

3.2 At a glance

Shaded rows are real differences; the darkest cell is the highest. Gray rows show no clear difference. Prices are averages; days on market and year built are medians.

Under $824K$824K–$980K$1.00M–$1.41MOver $1.41MReal difference?
Net price per SF$524 per SF$569 per SF$561 per SF$698 per SFunclear
Living area1,416 SFSmallest1,758 SF2,243 SF3,206 SFLargest✓ large
Year built1946194819601951unclear
Days on market14 days103 days22 days40 daysunclear
Discount from original list7.1%7.4%5.6%7.1%unclear
Price cut before sale12%38%50%62%unclear
Seller paid closing costs or repairs50%50%62%25%unclear
Has a view12%50%75%62%unclear

How to read this section. Each heading gives the finding. The gold box says whether the gap is real (✓, with its size) or could be chance (–). The section ends with its numbers; the tests are in section 8.3.

3.3 Net price per SF: no clear difference

2026-10-26T07:41:43.402677 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $824K 8 sales $824K– $980K 8 sales $1.00M– $1.41M 8 sales Over $1.41M 8 sales $0 $250 $500 $750 $524 $569 $561 $698 Net price per SF, average

The average is $698 per SF for homes over $1.41M and $524 per SF for homes under $824K. It does not move in a straight line; homes over $1.41M are highest. Defined in 8.1.2.

– No clear difference · could be chance

3.4 Homes over $1.41M are about 1,790 SF (126%) larger than homes under $824K

2026-10-26T07:41:43.424556 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $824K 8 sales $824K– $980K 8 sales $1.00M– $1.41M 8 sales Over $1.41M 8 sales 0 1,000 2,000 3,000 1,416 1,758 2,243 3,206 Living area (SF), average

The average is 3,206 SF for homes over $1.41M and 1,416 SF for homes under $824K. It rises step by step from the lowest range to the highest. Defined in 8.1.3.

✓ Real difference · large

3.5 Year built: no clear difference

2026-10-26T07:41:43.448117 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $824K 8 sales $824K– $980K 8 sales $1.00M– $1.41M 8 sales Over $1.41M 8 sales 1940 1960 1980 2000 1946 1948 1960 1951 Year built: median (dot) and middle half (bar)

The median is 1951 for homes over $1.41M and 1946 for homes under $824K. It does not move in a straight line; homes $1.00M–$1.41M are highest. Defined in 8.1.4.

– No clear difference · could be chance

3.6 Days on market: no clear difference

2026-10-26T07:41:43.470288 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $824K 8 sales $824K– $980K 8 sales $1.00M– $1.41M 8 sales Over $1.41M 8 sales 0 50 100 14 103 22 40 Days on market, median

The median is 40 days for homes over $1.41M and 14 days for homes under $824K. It does not move in a straight line; homes $824K–$980K are highest. Defined in 8.1.5.

– No clear difference · could be chance

3.7 Discount from original list: no clear difference

2026-10-26T07:41:43.492775 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $824K 8 sales $824K– $980K 8 sales $1.00M– $1.41M 8 sales Over $1.41M 8 sales 0.0% 2.5% 5.0% 7.5% 7.1% 7.4% 5.6% 7.1% Discount from original list, average

The average is 7.1% for homes over $1.41M and 7.1% for homes under $824K. It does not move in a straight line; homes $824K–$980K are highest. Defined in 8.1.6.

– No clear difference · could be chance

3.8 How often: price cut before sale, seller paid closing costs or repairs, has a view

2026-10-26T07:41:43.522895 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs Has a view 0% 25% 50% 75% 100% 12 50 12 38 50 50 50 62 75 62 25 62 Under $824K $824K–$980K $1.00M–$1.41M Over $1.41M

Each bar is the share of homes in the group, in percent.

  • 62% of homes over $1.41M had a price cut before sale, against 12% of homes under $824K. Defined in 8.1.7.
  • 25% of homes over $1.41M had the seller pay closing costs or repairs, against 50% of homes under $824K. Defined in 8.1.8.
  • 62% of homes over $1.41M have a view, against 12% of homes under $824K. Defined in 8.1.9.
Price cut before sale: – No clear difference · could be chance
Seller paid closing costs or repairs: – No clear difference · could be chance
Has a view: – No clear difference · could be chance

3.9 The numbers: price and size

Under $824K8 sales$824K–$980K8 sales$1.00M–$1.41M8 salesOver $1.41M8 salesAll32 salesReal difference?
Net sale price average$694,312$896,156$1,208,042$2,198,784$1,249,324by design
Net price per SF average$524$569$561$698$588unclear
Living area average1,4161,7582,2433,2062,156✓ large
Year built median19461948196019511948unclear

3.10 The numbers: selling

Under $824K8 sales$824K–$980K8 sales$1.00M–$1.41M8 salesOver $1.41M8 salesAll32 salesReal difference?
Days on market median14103224032unclear
Discount from original list average7.1%7.4%5.6%7.1%6.8%unclear
Price cut before sale12%38%50%62%41%unclear
Seller paid closing costs or repairs50%50%62%25%47%unclear
Has a view12%50%75%62%50%unclear

Prices, price per SF, living area and discount are averages; days on market and year built are medians. The test behind each verdict is in 8.3.1.

4. Quartiles by living areaResale homes · 32 sales · October 26, 2025 – October 25, 2026

Sales ranked by living area and cut into four equal groups, from the smallest homes to the largest.

2026-10-26T07:41:43.542728 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 8 8 8 8 32 sales Sales per group Under 1,379 SF: 8 sales (25%) 1,379–1,948 SF: 8 sales (25%) 1,982–2,468 SF: 8 sales (25%) Over 2,468 SF: 8 sales (25%)
Bottom line

4.1 Key differences

The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.

Under 1,379 SF1,379–1,948 SF1,982–2,468 SFOver 2,468 SF
Larger homes Over 2,468 SF
  • Sell for much more.
Smaller homes Under 1,379 SF
  • Sell for much less.

4.2 At a glance

Shaded rows are real differences; the darkest cell is the highest. Gray rows show no clear difference. Prices are averages; days on market and year built are medians.

Under 1,379 SF1,379–1,948 SF1,982–2,468 SFOver 2,468 SFReal difference?
Net sale price$793KLowest$967K$1.12M$2.12MHighest✓ large
Net price per SF$676 per SF$565 per SF$510 per SF$601 per SFunclear
Year built1944194819511978unclear
Days on market10 days22 days47 days46 daysunclear
Discount from original list8.8%6.2%2.5%9.8%unclear
Price cut before sale38%12%38%75%unclear
Seller paid closing costs or repairs50%62%25%50%unclear
Has a view25%38%75%62%unclear

4.3 Homes over 2,468 SF sell for about $1.33M (167%) more than homes under 1,379 SF

2026-10-26T07:41:43.563259 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,379 SF 8 sales 1,379– 1,948 SF 8 sales 1,982– 2,468 SF 8 sales Over 2,468 SF 8 sales $0K $1.00M $2.00M $793K $967K $1.12M $2.12M Net sale price, average

The average is $2.12M for homes over 2,468 SF and $793K for homes under 1,379 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.1.

✓ Real difference · large

4.4 Net price per SF: no clear difference

2026-10-26T07:41:43.585343 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,379 SF 8 sales 1,379– 1,948 SF 8 sales 1,982– 2,468 SF 8 sales Over 2,468 SF 8 sales $0 $250 $500 $750 $676 $565 $510 $601 Net price per SF, average

The average is $601 per SF for homes over 2,468 SF and $676 per SF for homes under 1,379 SF. It does not move in a straight line; homes under 1,379 SF are highest. Defined in 8.1.2.

– No clear difference · could be chance

4.5 Year built: no clear difference

2026-10-26T07:41:43.608550 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,379 SF 8 sales 1,379– 1,948 SF 8 sales 1,982– 2,468 SF 8 sales Over 2,468 SF 8 sales 1940 1960 1980 2000 1944 1948 1951 1978 Year built: median (dot) and middle half (bar)

The median is 1978 for homes over 2,468 SF and 1944 for homes under 1,379 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.4.

– No clear difference · could be chance

4.6 Days on market: no clear difference

2026-10-26T07:41:43.630832 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,379 SF 8 sales 1,379– 1,948 SF 8 sales 1,982– 2,468 SF 8 sales Over 2,468 SF 8 sales 0 20 40 10 22 47 46 Days on market, median

The median is 46 days for homes over 2,468 SF and 10 days for homes under 1,379 SF. It does not move in a straight line; homes 1,982–2,468 SF are highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-10-26T07:41:43.652133 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,379 SF 8 sales 1,379– 1,948 SF 8 sales 1,982– 2,468 SF 8 sales Over 2,468 SF 8 sales 0.0% 5.0% 10.0% 8.8% 6.2% 2.5% 9.8% Discount from original list, average

The average is 9.8% for homes over 2,468 SF and 8.8% for homes under 1,379 SF. It does not move in a straight line; homes over 2,468 SF are highest. Defined in 8.1.6.

– No clear difference · could be chance

4.8 How often: price cut before sale, seller paid closing costs or repairs, has a view

2026-10-26T07:41:43.677727 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs Has a view 0% 25% 50% 75% 100% 38 50 25 12 62 38 38 25 75 75 50 62 Under 1,379 SF 1,379–1,948 SF 1,982–2,468 SF Over 2,468 SF

Each bar is the share of homes in the group, in percent.

  • 75% of homes over 2,468 SF had a price cut before sale, against 38% of homes under 1,379 SF. Defined in 8.1.7.
  • 50% of homes over 2,468 SF had the seller pay closing costs or repairs, against 50% of homes under 1,379 SF. Defined in 8.1.8.
  • 62% of homes over 2,468 SF have a view, against 25% of homes under 1,379 SF. Defined in 8.1.9.
Price cut before sale: – No clear difference · could be chance
Seller paid closing costs or repairs: – No clear difference · could be chance
Has a view: – No clear difference · could be chance

4.9 The numbers: price and size

Under 1,379 SF8 sales1,379–1,948 SF8 sales1,982–2,468 SF8 salesOver 2,468 SF8 salesAll32 salesReal difference?
Net sale price average$793,038$966,920$1,118,141$2,119,197$1,249,324✓ large
Net price per SF average$676$565$510$601$588unclear
Living area average1,2091,7122,1953,5072,156by design
Year built median19441948195119781948unclear

4.10 The numbers: selling

Under 1,379 SF8 sales1,379–1,948 SF8 sales1,982–2,468 SF8 salesOver 2,468 SF8 salesAll32 salesReal difference?
Days on market median1022474632unclear
Discount from original list average8.8%6.2%2.5%9.8%6.8%unclear
Price cut before sale38%12%38%75%41%unclear
Seller paid closing costs or repairs50%62%25%50%47%unclear
Has a view25%38%75%62%50%unclear

Prices, price per SF, living area and discount are averages; days on market and year built are medians. The test behind each verdict is in 8.3.2.

5. Quartiles by year builtResale homes · 32 sales · October 26, 2025 – October 25, 2026

Sales ranked by year built and cut into four groups, from the oldest to the newest. Homes built in the same year always stay in the same group, so group sizes can differ a little.

2026-10-26T07:41:43.696952 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 8 8 8 8 32 sales Sales per group Before 1940: 8 sales (25%) 1940–1947: 8 sales (25%) 1949–1980: 8 sales (25%) After 1980: 8 sales (25%)
Bottom line: no measure differs enough between the groups to rule out chance.

5.1 Key differences

The top group against the bottom group: no measure differs enough to rule out chance.

5.2 At a glance

Shaded rows are real differences; the darkest cell is the highest. Gray rows show no clear difference. Prices are averages; days on market and year built are medians.

Before 19401940–19471949–1980After 1980Real difference?
Net sale price$1.36M$808K$1.14M$1.69Munclear
Net price per SF$646 per SF$510 per SF$600 per SF$595 per SFunclear
Living area2,221 SF1,627 SF1,905 SF2,869 SFunclear
Days on market14 days16 days32 days104 daysunclear
Discount from original list6.8%6.3%4.6%9.5%unclear
Price cut before sale12%25%38%88%unclear
Seller paid closing costs or repairs38%50%50%50%unclear
Has a view38%25%75%62%unclear

5.3 Net sale price: no clear difference

2026-10-26T07:41:43.716385 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1940 8 sales 1940– 1947 8 sales 1949– 1980 8 sales After 1980 8 sales $0K $1.00M $2.00M $1.36M $808K $1.14M $1.69M Net sale price, average

The average is $1.69M for homes built after 1980 and $1.36M for homes built before 1940. It does not move in a straight line; homes built after 1980 are highest. Defined in 8.1.1.

– No clear difference · could be chance

5.4 Net price per SF: no clear difference

2026-10-26T07:41:43.737792 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1940 8 sales 1940– 1947 8 sales 1949– 1980 8 sales After 1980 8 sales $0 $200 $400 $600 $646 $510 $600 $595 Net price per SF, average

The average is $595 per SF for homes built after 1980 and $646 per SF for homes built before 1940. It does not move in a straight line; homes built before 1940 are highest. Defined in 8.1.2.

– No clear difference · could be chance

5.5 Living area: no clear difference

2026-10-26T07:41:43.758476 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1940 8 sales 1940– 1947 8 sales 1949– 1980 8 sales After 1980 8 sales 0 1,000 2,000 3,000 2,221 1,627 1,905 2,869 Living area (SF), average

The average is 2,869 SF for homes built after 1980 and 2,221 SF for homes built before 1940. It does not move in a straight line; homes built after 1980 are highest. Defined in 8.1.3.

– No clear difference · could be chance

5.6 Days on market: no clear difference

2026-10-26T07:41:43.779034 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1940 8 sales 1940– 1947 8 sales 1949– 1980 8 sales After 1980 8 sales 0 50 100 14 16 32 104 Days on market, median

The median is 104 days for homes built after 1980 and 14 days for homes built before 1940. It rises step by step from the lowest range to the highest. Defined in 8.1.5.

– No clear difference · could be chance

5.7 Discount from original list: no clear difference

2026-10-26T07:41:43.800432 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1940 8 sales 1940– 1947 8 sales 1949– 1980 8 sales After 1980 8 sales 0.0% 5.0% 10.0% 6.8% 6.3% 4.6% 9.5% Discount from original list, average

The average is 9.5% for homes built after 1980 and 6.8% for homes built before 1940. It does not move in a straight line; homes built after 1980 are highest. Defined in 8.1.6.

– No clear difference · could be chance

5.8 How often: price cut before sale, seller paid closing costs or repairs, has a view

2026-10-26T07:41:43.824845 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs Has a view 0% 25% 50% 75% 100% 12 38 38 25 50 25 38 50 75 88 50 62 Before 1940 1940–1947 1949–1980 After 1980

Each bar is the share of homes in the group, in percent.

  • 88% of homes built after 1980 had a price cut before sale, against 12% of homes built before 1940. Defined in 8.1.7.
  • 50% of homes built after 1980 had the seller pay closing costs or repairs, against 38% of homes built before 1940. Defined in 8.1.8.
  • 62% of homes built after 1980 have a view, against 38% of homes built before 1940. Defined in 8.1.9.
Price cut before sale: – No clear difference · could be chance
Seller paid closing costs or repairs: – No clear difference · could be chance
Has a view: – No clear difference · could be chance

5.9 The numbers: price and size

Before 19408 sales1940–19478 sales1949–19808 salesAfter 19808 salesAll32 salesReal difference?
Net sale price average$1,364,157$808,469$1,137,806$1,686,862$1,249,324unclear
Net price per SF average$646$510$600$595$588unclear
Living area average2,2211,6271,9052,8692,156unclear
Year built median19331944195120081948by design

5.10 The numbers: selling

Before 19408 sales1940–19478 sales1949–19808 salesAfter 19808 salesAll32 salesReal difference?
Days on market median14163210432unclear
Discount from original list average6.8%6.3%4.6%9.5%6.8%unclear
Price cut before sale12%25%38%88%41%unclear
Seller paid closing costs or repairs38%50%50%50%47%unclear
Has a view38%25%75%62%50%unclear

Prices, price per SF, living area and discount are averages; days on market and year built are medians. The test behind each verdict is in 8.3.3.

6. View and no viewResale homes · 32 sales · October 26, 2025 – October 25, 2026

Sales where the MLS lists a view (greenbelt or park, trees, golf course, hill country, water and similar) against those listing none or only the neighborhood.

2026-10-26T07:41:43.841937 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 16 16 32 sales Sales per group View: 16 sales (50%) No view: 16 sales (50%)
Bottom line: no measure differs enough between the groups to rule out chance.

6.1 Key differences

The top group against the bottom group: no measure differs enough to rule out chance.

6.2 At a glance

Shaded rows are real differences; the darkest cell is the highest. Gray rows show no clear difference. Prices are averages; days on market and year built are medians.

ViewNo viewReal difference?
Net sale price$1.40M$1.10Munclear
Net price per SF$600 per SF$576 per SFunclear
Living area2,372 SF1,939 SFunclear
Year built19521944unclear
Days on market40 days22 daysunclear
Discount from original list6.4%7.2%unclear
Price cut before sale56%25%unclear
Seller paid closing costs or repairs44%50%unclear

6.3 Net sale price: no clear difference

2026-10-26T07:41:43.857159 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 16 sales No view 16 sales $0K $500K $1.00M $1.50M $1.40M $1.10M Net sale price, average

The average is $1.40M for homes with a view and $1.10M for homes without a view. Defined in 8.1.1.

– No clear difference · could be chance

6.4 Net price per SF: no clear difference

2026-10-26T07:41:43.874003 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 16 sales No view 16 sales $0 $200 $400 $600 $600 $576 Net price per SF, average

The average is $600 per SF for homes with a view and $576 per SF for homes without a view. Defined in 8.1.2.

– No clear difference · could be chance

6.5 Living area: no clear difference

2026-10-26T07:41:43.892031 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 16 sales No view 16 sales 0 1,000 2,000 2,372 1,939 Living area (SF), average

The average is 2,372 SF for homes with a view and 1,939 SF for homes without a view. Defined in 8.1.3.

– No clear difference · could be chance

6.6 Year built: no clear difference

2026-10-26T07:41:43.931871 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 16 sales No view 16 sales 1950 1965 1980 1995 1952 1944 Year built: median (dot) and middle half (bar)

The median is 1952 for homes with a view and 1944 for homes without a view. Defined in 8.1.4.

– No clear difference · could be chance

6.7 Days on market: no clear difference

2026-10-26T07:41:43.949685 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 16 sales No view 16 sales 0 10 20 30 40 40 22 Days on market, median

The median is 40 days for homes with a view and 22 days for homes without a view. Defined in 8.1.5.

– No clear difference · could be chance

6.8 Discount from original list: no clear difference

2026-10-26T07:41:43.968242 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 16 sales No view 16 sales 0.0% 2.0% 4.0% 6.0% 8.0% 6.4% 7.2% Discount from original list, average

The average is 6.4% for homes with a view and 7.2% for homes without a view. Defined in 8.1.6.

– No clear difference · could be chance

6.9 How often: price cut before sale, seller paid closing costs or repairs

2026-10-26T07:41:43.986824 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 56 44 25 50 View No view

Each bar is the share of homes in the group, in percent.

  • 56% of homes with a view had a price cut before sale, against 25% of homes without a view. Defined in 8.1.7.
  • 44% of homes with a view had the seller pay closing costs or repairs, against 50% of homes without a view. Defined in 8.1.8.
Price cut before sale: – No clear difference · could be chance
Seller paid closing costs or repairs: – No clear difference · could be chance

6.10 The numbers: price and size

View16 salesNo view16 salesAll32 salesReal difference?
Net sale price average$1,403,347$1,095,300$1,249,324unclear
Net price per SF average$600$576$588unclear
Living area average2,3721,9392,156unclear
Year built median195219441948unclear

6.11 The numbers: selling

View16 salesNo view16 salesAll32 salesReal difference?
Days on market median402232unclear
Discount from original list average6.4%7.2%6.8%unclear
Price cut before sale56%25%41%unclear
Seller paid closing costs or repairs44%50%47%unclear

Prices, price per SF, living area and discount are averages; days on market and year built are medians. The test behind each verdict is in 8.3.4.

7. New constructionBasic statistics · 1 sales · October 26, 2025 – October 25, 2026

Homes sold new by the builder in the same 365 days. They are left out of every other section and shown here as basic figures only: 1 sales, no groups, no tests.

Note: these are only the new-construction sales reported in ABOR MLS. Builders often sell homes without listing them in the MLS, so these figures do not necessarily represent all new-construction sales in Travis Heights.
MeasureAverageMedian
Sales1
Net sale price$1,595,000$1,595,000
Net price per SF$708$708
Living area (SF)2,2522,252
Days on market11
Discount from original list0.0%0.0%
Price cut before sale0% of sales
Seller paid closing costs or repairs0% of sales
Year built2026–2026

Same definitions as the rest of the study (section 8). New construction = NewConstructionYN true, or PropertyCondition “New Construction” or “Under Construction”.

8. AppendixMeasures, methods and tests

Each measure and method three ways: in plain words, as statistics, and with the data from this study.

8.1 Measures

8.1.1 Net sale price

In simple terms
What the seller actually kept: the closing price, less money the seller gave back to the buyer for closing costs or repairs. It is the truest price for comparing homes.
Statistically
Net = ClosePrice − ACTRIS_BuyersClsgCostPdbySell − ACTRIS_RepairsAmount (a blank counts as $0). Summarized by the arithmetic mean in the slices.
The data
32 resale sales. Average $1,249,324; median $988,750; standard deviation $656,482; middle half (25th–75th percentile) $817,338–$1,422,474; lowest $575,000, highest $2,750,000. 15 sales had a seller payment; their median payment was $8,000.

8.1.2 Net price per SF

In simple terms
Net sale price divided by the heated and cooled square feet. It puts homes of different sizes on the same footing: did buyers pay more for each square foot, not just for more square feet?
Statistically
psf = Net ÷ LivingArea, per sale; summarized by the mean of the per-sale ratios.
The data
32 resale sales. Average $588; median $589; standard deviation $166; middle half (25th–75th percentile) $451–$711; lowest $299, highest $967.

8.1.3 Living area

In simple terms
The heated and cooled space, as listed in the MLS. Garages and porches are not counted.
Statistically
RESO LivingArea, in square feet. Sales under 400 SF are treated as entry errors and left out.
The data
32 resale sales. Average 2,156; median 1,965; standard deviation 937; middle half (25th–75th percentile) 1,367–2,478; lowest 812, highest 4,638.

8.1.4 Year built

In simple terms
The year the home was finished, as listed in the MLS. It shows whether a group leans to older or newer phases of the community.
Statistically
RESO YearBuilt; summarized by the median, with the 25th–75th percentile (middle half) on the charts.
The data
32 resale sales. Average 1960; median 1948; standard deviation 31; middle half (25th–75th percentile) 1940–1984; lowest 1922, highest 2023.

8.1.5 Days on market

In simple terms
How many days the home was on the market before the buyer's offer was accepted, counting any earlier listing periods (relists). This is the days on market agents and clients quote.
Statistically
CDOM = max(CumulativeDaysOnMarket, DaysOnMarket, PurchaseContractDate − ListingContractDate). The MLS counter can freeze at a price change, so the contract-date gap is a floor. Summarized by the median, because a few homes that sat for months pull an average up.
The data
32 resale sales. Average 91; median 32; standard deviation 150; middle half (25th–75th percentile) 9–104; lowest 3, highest 742. 0 sales went under contract on their listing date (0 days).

8.1.6 Discount from original list

In simple terms
How far below the first asking price the home sold, after seller payments. It measures how much negotiating room sellers gave up. A negative figure means the home sold above its first asking price.
Statistically
Discount % = (OriginalListPrice − Net) ÷ OriginalListPrice × 100, per sale; summarized by the mean.
The data
32 resale sales. Average 6.8%; median 4.6%; standard deviation 7.5%; middle half (25th–75th percentile) 2.0%–10.8%; lowest −7.2%, highest 26.4%. 4 sales closed above their first asking price.

8.1.7 Price cut before sale

In simple terms
The asking price was lowered at least once before the home went under contract.
Statistically
Indicator: ListPrice at close < OriginalListPrice. Reported as the share of sales (%).
The data
13 of 32 resale sales (40.6%).

8.1.8 Seller paid closing costs or repairs

In simple terms
The seller paid some of the buyer's closing costs or repairs.
Statistically
Indicator: ACTRIS_BuyersClsgCostPdbySell + ACTRIS_RepairsAmount > 0. Reported as the share of sales (%).
The data
15 of 32 resale sales (46.9%).

8.1.9 Has a view

In simple terms
The MLS says the home looks over something: a greenbelt or park, trees, golf course, hill country, water and similar.
Statistically
View = the View field holds any entry other than “None”, “Neighborhood” or “See Remarks”. No view = only “None” and/or “Neighborhood”. A record whose only entry is “See Remarks” cannot be classified and is left out of the view slice.
The data
16 sales with a view, 16 without, 0 unclassified. Most common View entries: None 12, Neighborhood 9, City 8, Trees/Woods 6, Downtown 4, Skyline 3, Park/Greenbelt 2, City Lights 2.

8.2 Methods

8.2.1 Data source

In simple terms
Every figure comes from the Austin Board of REALTORS® MLS, read live by ALEX. No figure is estimated or typed in.
Statistically
Bridge Interactive RESO Web API (OData), ABOR dataset, every field returned. Filter: StandardStatus = Closed, PropertyType = Residential, City = Austin, SubdivisionName contains any of “travis heights”, “pleasant view add” (case-insensitive). A record is kept when its subdivision name belongs to the Travis Heights family, the same rule comparable sales use (it includes Pleasant View Add, proven adjacent and priced alike).
The data
Pulled October 26, 2026: 39 closed Travis Heights records over the prior year, in ZIP 78704. 2 subdivision spellings kept: Travis Heights (36); Pleasant View Add (3). Names found by the search but not part of Travis Heights, left out: River Oaks Sec 01 aka East Travis Heights (1); Travis Heights Condo The Amd (1); Travis Heights Terrace Condo Amd (1); Pleasant View Addition (1); Travis Heights Terrace Condominiums (1); Fawn Ridge Sec 02 (East Travis Heights) (1).

8.2.2 Study window

In simple terms
The most recent 365 days of closed sales: recent enough to describe today's market, long enough to give each group plenty of sales. The usual window is 180 days; it holds only 17 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 26, 2025 to October 25, 2026 inclusive.
The data
33 single-family sales in the window: 32 resale, 1 new construction.

8.2.3 Resale and new construction

In simple terms
A resale home was previously owned. New construction is sold by the builder and behaves differently, so it is kept out of every analysis and reported once on its own.
Statistically
New construction = NewConstructionYN true, or PropertyCondition contains “New Construction” or “Under Construction”. Everything else is resale.
The data
32 resale; 1 new construction.

8.2.4 Sales left out

In simple terms
A few records cannot be used as entered and are left out before any analysis.
Statistically
Excluded: PropertySubType other than Single Family Residence; no OriginalListPrice; LivingArea under 400 SF; seller payments above 10% of ClosePrice (treated as entry errors).
The data
4 sale(s) other than single-family homes (condo, townhome and similar); 2 sale(s) with concessions above 10% of price

8.2.5 Quartiles and groups

In simple terms
Sales lined up from lowest to highest and cut into four groups of about equal size. Each group is named by its range, for example “Under $824K”.
Statistically
Sort by the slicing variable; cut k sits at round(nk/4), k = 1…3. A cut that would split tied values moves to the nearer edge of the tie. A group under 3 sales merges into its smaller neighbor. Range names use the next group's lowest value (“Under”) and the previous group's highest value (“Over”/“After”).
The data
Quartiles by net sale price: Under $824K: $575,000–$796,000 (8 sales); $824K–$980K: $824,451–$980,000 (8 sales); $1.00M–$1.41M: $997,500–$1,413,298 (8 sales); Over $1.41M: $1,450,000–$2,750,000 (8 sales)
Quartiles by living area: Under 1,379 SF: 812–1,332 SF (8 sales); 1,379–1,948 SF: 1,379–1,948 SF (8 sales); 1,982–2,468 SF: 1,982–2,468 SF (8 sales); Over 2,468 SF: 2,510–4,638 SF (8 sales)
Quartiles by year built: Before 1940: 1922–1939 (8 sales); 1940–1947: 1940–1947 (8 sales); 1949–1980: 1949–1980 (8 sales); After 1980: 1997–2023 (8 sales)
View and no view: View: MLS lists a view (16 sales); No view: None or Neighborhood (16 sales)

8.2.6 Average and median

In simple terms
The average adds the values and divides by how many; one very expensive home can pull it up. The median is the middle value, with half above and half below.
Statistically
Mean x̄ = (1/n) Σ xᵢ; median = 50th percentile. Price, price per SF, living area and discount use the mean; days on market and year built use the median (skewed or whole-year values).
The data
Net sale price: average $1,249,324, median $988,750. Days on market: average 91, median 32: the average is pulled up by a few long listings.

8.2.7 Kruskal–Wallis test

In simple terms
Checks whether a measure really differs across the four groups of a slice. It uses each sale's rank, not its value, so a few extreme sales cannot drive the answer.
Statistically
H = [12/(n(n+1))] Σ Rⱼ²/nⱼ − 3(n+1), compared with χ² on k − 1 degrees of freedom (Kruskal & Wallis, 1952). Effect size ε² = H/(n − 1): ≥ .01 small, ≥ .06 medium, ≥ .14 large (Tomczak & Tomczak, 2014). A slice is tested only when every group has at least 5 sales; smaller groups are described, not tested.
The data
Run on every measure in sections 3–5; each result is in 8.3.

8.2.8 Mann–Whitney U test

In simple terms
The same check when there are only two groups: view against no view.
Statistically
Two-sided U test (Mann & Whitney, 1947). Effect size = rank-biserial correlation |1 − 2U/(n₁n₂)|: ≥ .10 small, ≥ .30 medium, ≥ .50 large (Kerby, 2014; Cohen, 1988).
The data
Run on every measure in section 6; results in 8.3.

8.2.9 Chi-square test

In simple terms
Checks whether a yes/no share (price cut, seller payment, view) differs between groups more than chance would.
Statistically
Pearson χ² on the 2 × k table of counts, no continuity correction (Pearson, 1900). Effect size Cramér's V = √(χ²/n): ≥ .10 small, ≥ .30 medium, ≥ .50 large (Cramér, 1946).
The data
Run on the three shares in every slice; results in 8.3.

8.2.10 Real difference (significance)

In simple terms
“Real difference” means a gap this large would be very unlikely if the groups were really alike. Because many measures are checked in each slice, the bar is set higher than usual.
Statistically
Significant when p < 0.05 ÷ m, where m is the number of measures tested in that slice (Bonferroni; Dunn, 1961). The slicing variable itself differs by design and is not tested.
The data
Quartiles by net sale price: m = 8, threshold p < 0.0063; Quartiles by living area: m = 8, threshold p < 0.0063; Quartiles by year built: m = 8, threshold p < 0.0063; View and no view: m = 8, threshold p < 0.0063

8.2.11 Size of a difference

In simple terms
A difference can be real but small. The size word (small, medium, large) says how much the groups pull apart.
Statistically
ε² for Kruskal–Wallis, rank-biserial r for Mann–Whitney, Cramér's V for chi-square, with the thresholds above; below the small threshold the size is “negligible”.
The data
2 real differences across the four slices; sizes are listed in 8.3.

8.2.12 Rounding in the text

In simple terms
Headings and sentences round figures so they read easily; the tables at the end of each section give them in full.
Statistically
Prices in headings round to the nearest $1K; price per SF and days on market to the nearest whole number; living area to the nearest 10 SF; shares and percentage gaps to whole percents.
The data
Days on market is always shown in days.

8.3 Test results

Every test behind every gold box. Statistic, degrees of freedom (df), p-value, the threshold it must beat, and the size of the difference.

8.3.1 Quartiles by net sale price

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net price per SFKruskal–WallisH = 7.0530.0704p < 0.0063Unclearε² = 0.227large
Living areaKruskal–WallisH = 17.4130.0006p < 0.0063Yesε² = 0.562large
Year builtKruskal–WallisH = 2.0030.5728p < 0.0063Unclearε² = 0.064medium
Days on marketKruskal–WallisH = 3.5230.3177p < 0.0063Unclearε² = 0.114medium
Discount from original listKruskal–WallisH = 0.6430.8867p < 0.0063Unclearε² = 0.021small
Price cut before saleChi-squareχ² = 4.5330.2092p < 0.0063UnclearCramér’s V = 0.376medium
Seller paid closing costs or repairsChi-squareχ² = 2.3830.4966p < 0.0063UnclearCramér’s V = 0.273small
Has a viewChi-squareχ² = 7.0030.0719p < 0.0063UnclearCramér’s V = 0.468medium

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 16.7330.0008p < 0.0063Yesε² = 0.540large
Net price per SFKruskal–WallisH = 4.4430.2179p < 0.0063Unclearε² = 0.143large
Year builtKruskal–WallisH = 2.7430.4335p < 0.0063Unclearε² = 0.088medium
Days on marketKruskal–WallisH = 2.0230.5682p < 0.0063Unclearε² = 0.065medium
Discount from original listKruskal–WallisH = 3.8430.2795p < 0.0063Unclearε² = 0.124medium
Price cut before saleChi-squareχ² = 6.6130.0855p < 0.0063UnclearCramér’s V = 0.454medium
Seller paid closing costs or repairsChi-squareχ² = 2.3830.4966p < 0.0063UnclearCramér’s V = 0.273small
Has a viewChi-squareχ² = 5.0030.1718p < 0.0063UnclearCramér’s V = 0.395medium

8.3.3 Quartiles by year built

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 8.3030.0401p < 0.0063Unclearε² = 0.268large
Net price per SFKruskal–WallisH = 3.0830.3795p < 0.0063Unclearε² = 0.099medium
Living areaKruskal–WallisH = 6.2030.1022p < 0.0063Unclearε² = 0.200large
Days on marketKruskal–WallisH = 10.7730.0131p < 0.0063Unclearε² = 0.347large
Discount from original listKruskal–WallisH = 3.8830.2743p < 0.0063Unclearε² = 0.125medium
Price cut before saleChi-squareχ² = 10.7530.0131p < 0.0063UnclearCramér’s V = 0.580large
Seller paid closing costs or repairsChi-squareχ² = 0.3830.9451p < 0.0063UnclearCramér’s V = 0.108small
Has a viewChi-squareχ² = 5.0030.1718p < 0.0063UnclearCramér’s V = 0.395medium

8.3.4 View and no view

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceMann–Whitney UU = 187.00—0.0275p < 0.0063Unclearrank-biserial r = 0.461medium
Net price per SFMann–Whitney UU = 144.00—0.5591p < 0.0063Unclearrank-biserial r = 0.125small
Living areaMann–Whitney UU = 172.00—0.1011p < 0.0063Unclearrank-biserial r = 0.344medium
Year builtMann–Whitney UU = 166.00—0.1572p < 0.0063Unclearrank-biserial r = 0.297small
Days on marketMann–Whitney UU = 158.00—0.2659p < 0.0063Unclearrank-biserial r = 0.234small
Discount from original listMann–Whitney UU = 131.00—0.9249p < 0.0063Unclearrank-biserial r = 0.023negligible
Price cut before saleChi-squareχ² = 3.2410.0719p < 0.0063UnclearCramér’s V = 0.318medium
Seller paid closing costs or repairsChi-squareχ² = 0.1310.7232p < 0.0063UnclearCramér’s V = 0.063negligible

8.4 Data notes

Left out of the analysis: 1 new-construction sales (basic statistics only, section 7); 4 sale(s) other than single-family homes (condo, townhome and similar); 2 sale(s) with concessions above 10% of price. Statistics: Python, NumPy 2.5.3, SciPy 1.18.1.

8.5 References

  1. Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Erlbaum.
  2. Cramér, H. (1946). Mathematical Methods of Statistics. Princeton University Press.
  3. Dunn, O. J. (1961). Multiple comparisons among means. JASA, 56(293), 52–64.
  4. Kerby, D. S. (2014). The simple difference formula: an approach to teaching nonparametric correlation. Comprehensive Psychology, 3, 11.IT.3.1.
  5. Kruskal, W. H., & Wallis, W. A. (1952). Use of ranks in one-criterion variance analysis. JASA, 47(260), 583–621.
  6. Mann, H. B., & Whitney, D. R. (1947). On a test of whether one of two random variables is stochastically larger than the other. Annals of Mathematical Statistics, 18(1), 50–60.
  7. Pearson, K. (1900). On the criterion that a given system of deviations… Philosophical Magazine, 50(302), 157–175.
  8. Tomczak, M., & Tomczak, E. (2014). The need to report effect size estimates revisited. Trends in Sport Sciences, 21(1), 19–25.

This is a market study of closed sales, not an appraisal or an opinion of value for any home. The analysis covers 32 closed MLS resale sales; the 1 new-construction sales appear only in their own section, as basic statistics. Sale and listing data: ABOR MLS via secure APIs, pulled October 26, 2026. Map data © OpenStreetMap contributors. ALEX Companies · Licensed by the Texas Real Estate Commission · Broker: Alexander Tiffany Southwest, LLC (ALEX Real Estate), #565194-BB · Diane Hart Alexander, Designated Broker, #574877-B.